Evidence map›Paper›PMID 33975375›Full record

ArticleMethods of information in medicine2020

Evidence-Based Health Informatics as the Foundation for the COVID-19 Response: A Joint Call for Action.

Luis Fernandez-Luque, Andre W Kushniruk, Andrew Georgiou, Arindam Basu, Carolyn Petersen, Charlene Ronquillo, Chris Paton, Christian Nøhr, Craig E Kuziemsky, Dari Alhuwail and 19 more

Open access · hybridAbstract read
In one paragraph

Article in Methods of information in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Precision and Virtual Care.Yearbook of medical informatics · 2024
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  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Leading IMIA through a Global Pandemic.Yearbook of medical informatics · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors at 20 institutions in 14 countries.

Luis Fernandez-LuqueAdhera Health Inc., Palo Alto, California, United States.
Andre W KushnirukSchool of Health Information Science, University of Victoria, Victoria, Canada.
Andrew GeorgiouAustralian Institute of Health Innovation, Macquarie University, Macquarie, New South Wales, Australia.
Arindam BasuSchool of Health Sciences, University of Canterbury, Christchurch, New Zealand.
Carolyn PetersenDivision of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States.
Charlene RonquilloDaphne Cockwell School of Nursing, Ryerson University, Ryerson, Toronto, Canada.
Chris PatonDepartment of Information Science, University of Otago, Dunedin, New Zealand.
Christian NøhrCentre for Health Informatics and Technology, Maersk McKinney Moller Institute, University of Southern Denmark, Denmark.
Craig E KuziemskyOffice of Research Services, MacEwan University, Edmonton, AB, Canada.
Dari AlhuwailDepartment of Information Science, Kuwait University, Kuwait.
Diane SkibaUniversity of Colorado, Denver, Colorado, United States.
Elaine HuesingIMIA CEO.
Elia GabarronNorwegian Centre for E-health Research, University Hospital of North Norway, Tromsø, Norway.
Elizabeth M BoryckiSchool of Health Information Science, University of Victoria, Victoria, Canada.
Farah MagrabiAustralian Institute of Health Innovation, Macquarie University, Macquarie, New South Wales, Australia.
Kerstin DeneckeInstitute for Medical Informatics, Bern University of Applied Sciences, Bern, Switzerland.
Linda W P PeuteMedical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Max TopazColumbia University Medical Center, Data Science Institute, Columbia University, Columbia, United States.
Najeeb Al-ShorbajiAmman, Jordan.
Paulette LacroixUniversity of Victoria, Victoria, Canada.
Romaric MarcillyUniv. Lille, Inserm, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, F-59000 Lille, France.
Ronald CornetMedical Informatics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Shashi B GogiaSociety for Administration of Telemedicine and Healthcare Informatics, New Delhi, India.
Shinji KobayashiNational Institute of Public Health, Japan.
Sriram IyengarThe University of Arizona, Arizona, United States.
Thomas M DesernoPeter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, Germany.
Tobias MettlerSwiss Graduate School of Public Administration, University of Lausanne, Lausanne, Switzerland.
Vivian VimarlundDepartment of Computer and Information Science (IDA), School of Engineering and Technology, Linköping University, Linköping, Sweden.
Xinxin ZhuCenter for Biomedical Data Science, Yale University, New Haven, Connecticut, United States.
University of Victoria · CAAmsterdam University Medical Centers · NLMacquarie University · AUBern University of Applied Sciences · CHColumbia University Irving Medical Center · USInserm · FRKuwait University · KWLinköping University · SEMacEwan University · CAMaersk (Denmark) · DKMayo Clinic · USNational Institute of Public Health · JPSwiss School of Public Health · CHTechnische Universität Braunschweig · DEToronto Metropolitan University · CAUniversity Hospital of North Norway · NOUniversity of Arizona · USUniversity of Canterbury · NZUniversity of Colorado Denver · USUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a major public health crisis, the novel coronavirus disease 2019 (COVID-19) pandemic demonstrates the urgent need for safe, effective, and evidence-based implementations of digital health. The urgency stems from the frequent tendency to focus attention on seemingly high promising digital health interventions despite being poorly validated in times of crisis.

aimIn this paper, we describe a joint call for action to use and leverage evidence-based health informatics as the foundation for the COVID-19 response and public health interventions. Tangible examples are provided for how the working groups and special interest groups of the International Medical Informatics Association (IMIA) are helping to build an evidence-based response to this crisis.

methodsLeaders of working and special interest groups of the IMIA, a total of 26 groups, were contacted via e-mail to provide a summary of the scientific-based efforts taken to combat COVID-19 pandemic and participate in the discussion toward the creation of this manuscript. A total of 13 groups participated in this manuscript.

resultsVarious efforts were exerted by members of IMIA including (1) developing evidence-based guidelines for the design and deployment of digital health solutions during COVID-19; (2) surveying clinical informaticians internationally about key digital solutions deployed to combat COVID-19 and the challenges faced when implementing and using them; and (3) offering necessary resources for clinicians about the use of digital tools in clinical practice, education, and research during COVID-19. DISCUSSION: Rigor and evidence need to be taken into consideration when designing, implementing, and using digital tools to combat COVID-19 to avoid delays and unforeseen negative consequences. It is paramount to employ a multidisciplinary approach for the development and implementation of digital health tools that have been rapidly deployed in response to the pandemic bearing in mind human factors, ethics, data privacy, and the diversity of context at the local, national, and international levels. The training and capacity building of front-line workers is crucial and must be linked to a clear strategy for evaluation of ongoing experiences.

Indexed as

COVID-19Evidence-Based PracticeMedical InformaticsCooperative BehaviorHumansPandemicsPublic HealthQualitative ResearchSARS-CoV-2

Identifiers

PMID33975375
PMCPMC8279811
OpenAlexW3162420042

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.